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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 5 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
ICMLA
2008
15 years 15 days ago
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy
We propose a novel approach for on-line treatment verification using cine EPID (Electronic Portal Imaging Device) images for hypofractionated lung radiotherapy based on a machine ...
Xiaoli Tang, Tong Lin, Steve B. Jiang
TNN
2011
107views more  TNN 2011»
14 years 6 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
ICMLA
2008
15 years 15 days ago
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
EAAI
2006
123views more  EAAI 2006»
14 years 11 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan